GitHub

Using an Arduino Uno and a MAX30105 sensor to gather data; SpO2 value calculated by running data through a MATLAB algorithm which implements a linear regression.

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Europe PMC

SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction.

Hypoxemia is a significant driver of mortality and poor clinical outcomes in conditions such as brain injury and cardiac arrest in critically ill patients, including COVID-19 patients. Given the host ...
News Medical

LifeSense Tabletop Capnography from Nonin

Nonin Medical's LifeSense® multi-parameter monitor provides numeric EtCO2 and SpO2 values in addition to a continuous visual waveform — making it ideal for spot checks or continuous monitoring.